NGAN, King Ngi  顔慶義

Emeritus Professor
Ph.D. (Loughborough), Life Fellow IEEE
Tel: +852 39438255
Email: knngan@cuhk.edu.hk


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Resume of Career: [ Full CV ]

Prof. Ngan received his B.Sc. (Hons) and Ph.D. degrees, both in Electrical Engineering from Loughborough University, U.K., in 1978 and 1982, respectively. He joined the Department of Electronic Engineering, the Chinese University of Hong Kong as Chair Professor in 2003, where  currently he is an Emeritus Professor. He has been appointed Distinguished Professor at the University of Electronic Science and Technology, Chengdu, China, under the National Thousand Talents Plan (国家千人计划) in 2017-2022. Previously he was a Full Professor at the School of Computer Engineering, Nanyang Technological University, Singapore, and the School of Electrical, Electronic and Computer Engineering, University of Western Australia, Australia. He was appointed as Honorary Professor of Sydney University in Australia and Tunku Abdul Rahman University in Malaysia, Adjunct/Visiting Professor of Zhejiang University, Shanghai Jiaotong University, Shanghai University, Huazhong University of Science and Technology and Huaqiao University in China, Distinguished Adjunct Professor of the National Sun Yat-sen University in Taiwan, and Adjunct Professor of the University of Western Australia and RMIT University in Australia. He served as the External Examiner for the B.Eng. degree program of Malaysia's Multimedia University, and was appointed as IEEE Distinguished Lecturer of the IEEE Circuits and Systems Society in 2006-2007.

Prof. Ngan is active in many professional activities. He was an associate editor of the Journal on Visual Communications and Image Representation, U.S.A., and an area editor of EURASIP Journal of Image Communications, and served as an associate editor of IEEE Transactions on Circuits and Systems for Video Technology and Journal of Applied Signal Processing. He chaired a number of prestigious international conferences on video signal processing and communications and served on the advisory and technical committees of numerous professional organizations. He co-chaired the IEEE International Conference on Image Processing (ICIP) in 2010 in Hong Kong. He has published extensively including 3 authored books, 6 edited volumes and over 300 refereed technical papers in the areas of visual signal processing, image/video coding and multimedia communications, which are his main research interests. He also holds 11 patents on image coding/transmission techniques.

For his contributions to the professional societies, Prof. Ngan has been elected to the Fellowships of IEEE (U.S.A.), IET (U.K.), and IEAust (Australia).
 

Current Research Interests:

Video coding and communications, digital image processing, 3D visual signal processing.
   
Authored Books:  
   

K.N. Ngan, T. Meier and D. Chai, Advanced Video Coding: Principles and Techniques, Elsevier Science Publishers B.V., ISBN 0-444-82667-X, August 1999, 430 pages.



K.N. Ngan, C.W. Yap and K.T. Tan, Video Coding for Future Generation Mobile Communication Systems, Marcel Dekker Inc., ISBN 0-8247-0489-4, January 2001, 560 pages.



W.J. Heng and K.N. Ngan, Digital Video Transition Analysis and Detection, World Scientific Publishing Co. Pte. Ltd., ISBN 981-238-185-6, November 2002, 200 pages.

K.N. Ngan and H. Li (Eds.), Video Segmentation and Its Applications, Springer, ISBN 978-1-4419-9481-3, May 2011, 164 pages.

(This book has been translated into Chinese and published by National Defense Industry Press.)
   

 

C. Deng, L. Ma, W. Lin and K.N. Ngan (Eds.), Visual Signal Quality Assessment - Quality of Experience, Springer, ISBN 978-3-319-10367-9, November 2014, 303 pages.

   
   

Top-cited Publications:

Second most cited paper in IEEE Transactions on Circuits and Systems on Video Technology in 1999.

D. Chai and K.N. Ngan, "Face segmentation using skin color map in videophone applications," IEEE Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 9, no. 4, June 1999, pp. 551-564.

Fourth most cited paper in IEEE Transactions on Circuits and Systems on Video Technology in 1998.

(Invited paper) T. Meier and K.N. Ngan, "Automatic segmentation of moving objects for video objects plane generation," IEEE Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 8, no. 5, September 1998, pp. 525-538.
 
Other Accolades:

Two PhD students, Zhenzhong Chen and Lin Ma, were awarded the prestigious Microsoft Research Asia (MSRA) Fellowships, in 2005 and 2011, respectively.
 
Recent Patents:
 
  1. King Ngi Ngan, Jie Dong and Yan Huo, “Method and Apparatus of De-Interlacing Video”, US Patent No. 8165211 B2, 24 April 2012.
  2. King Ngi Ngan and Bangsheng Cheng, “Method and Apparatus for Recognizing and Localizing Landmarks from an Image onto a Map”, US Patent No. 8180146 B2, 15 May 2012.
  3. Wai-Kuen Cham, Chi Keung Fong, Jie Dong, King Ngi Ngan, Hoi Ming Wong, Lu Wang, Yan Huo, Thomas H.Y. Pun, “Method and Device for Order-16 Integer Transform from Order-8 Integer Cosine Transform,” US Patent No. 8228983 B2, 24 July 2012.
  4. King Ngi Ngan and Hongliang Li, “Real-time Body Segmentation System”, US Patent No. 8233676 B2, 31 July 2012.
  5. King Ngi Ngan and Jie Dong, “Parametric Interpolation Filter for Motion-Compensated prediction”, US Patent No. US 8548065 B2, 1 October 2013.
  6. King Ngi Ngan, Lin Ma, Wai-Kuen Cham and Yu Liu, “Method and Apparatus for Video Coding by ABT-Based Just Noticeable Difference Model”, US Patent No. US 8559511 B2, 15 October 2013.

  7. King Ngi Ngan and Songnan Li, “Real-Time Head Pose Tracking with Online Face Template Reconstruction”, US Patent No. US 9672412 B2, 6 June 2017.
Recent Publications (since 2013): [ Full publication list ]
  1. F. Zhang, W. Lin, Z. Chen and K.N. Ngan, “Additive Log-logistic Model for Video Quality Assessment,” IEEE Transactions on Image Processing, U.S.A., vol. 22, no. 4, April 2013, pp. 1536-1547.
  2. F. Meng, H. Li, G. Liu and K.N. Ngan, “Image Co-segmentation by Incorporating Color Reward Strategy and Active Contours Model,” IEEE Transactions on Cybernetics, U.S.A., vol. 43, no. 2, April 2013, pp. 725-737.
  3. L. Xu, H. Li, L. Zeng and K. N. Ngan, "Saliency detection using joint spatial-color constraint and multi-scale segmentation", Journal of Visual Communication and Image Representation, vol. 24, no. 4, pp. 465-476, May 2013.
  4. (Invited paper) L. Ma, C. Deng, K.N. Ngan and W. Lin, “Recent Advances and Challenges of Visual Signal Quality Assessment,” China Communication, China, vol. 10, no. 5, May 2013, pp. 62-78.
  5. L. Xu, S. Li, K.N. Ngan and L. Ma, “Consistent Visual Quality Control in Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 23, no. 6, pp. 975-989, June 2013.
  6. S. Li, L. Ma and K.N. Ngan, “Anaglyph Image Generation by Matching Color Appearance Attributes,” Signal Processing: Image Communication, Europe, vol. 28, no. 6, pp. 597-607, July 2013.
  7. C. Cui and K.N. Ngan, “Global Propagation of Affine Invariant Features for Robust Matching,” IEEE Transactions on Image Processing, U.S.A., vol. 22, no. 7, pp. 2876-2888, July 2013.
  8. M. Wang, B. Yan and K.N. Ngan, “An Efficient Framework for Image/video Inpainting,” Signal Processing: Image Communication, Europe, vol. 28, no. 7, pp. 753-762, August 2013.
  9. L. Ma, S. Li and K.N. Ngan, “Reduced-Reference Image Quality Assessment in Reorganized DCT Domain,” Signal Processing: Image Communication, Europe, vol. 28, no. 8, pp. 884-902, September 2013.
  10. F. Meng, H. Li, K.N. Ngan, Zeng and Q. Wu, “Feature Adaptive Co-segmentation by Complexity Awareness,” IEEE Transactions on Image Processing, U.S.A., vol. 22, no. 12, pp. 4809-4824, December 2013.
  11. H. Li, F. Meng and K. N. Ngan, "Co-Salient Object Detection from Multiple Images", IEEE Transactions on Multimedia, U.S.A., vol. 15, no. 8, pp. 1896-1909, December 2013.
  12. F. Meng, H. Li, G. Liu and K.N. Ngan, “From Logo to Object Segmentation,” IEEE Transactions on Multimedia, U.S.A., vol. 15, no. 8, pp. 2186-2197, December 2013.
  13. M. Wang, K.N. Ngan and L. Xu, “Efficient H.264/AVC Video Coding with Adaptive Transforms,” IEEE Transactions on Multimedia, U.S.A., vol. 16, no. 4, pp. 933-946, June 2014.
  14. M. Wang, K.N. Ngan and H. Li, “An Efficient Frame-content based Intra Frame Rate Control for High Efficiency Video Coding,” IEEE Signal Processing Letters, U.S.A., vol. 22, no. 7, pp. 896-900, July 2015.
  15. L. Sheng, K.N. Ngan, C.-L. Lim and S. Li, “Online Temporally Consistent Indoor Depth Video Enhancement via Static Structure,” IEEE Transactions on Image Processing, U.S.A., U.S.A., vol. 24, no. 7, pp. 2197-2211, July 2015.
  16. Q. Wu, H. Li, F. Meng, K.N. Ngan and S. Zhu, “No Reference Image Quality Assessment Metric via Multi-domain Structural Information and Piecewise Regression,” Journal of Visual Communication and Image Representation, U.S.A., vol. 32, pp. 205-216, October 2015.
  17. R. Shi, K.N. Ngan, S. Li, R. Paramesran and H. Li, “Visual Quality Evaluation of Image Object Segmentation: Subjective Assessment and Objective Measure,” IEEE Transactions on Image Processing, U.S.A., vol. 24, no. 12, pp. 5033-5045, December 2015.
  18. J. Xiong, H. Li, F. Meng, Q. Wu and K.N. Ngan, “Fast HEVC Inter CU Decision based on Latent SAD Estimation”, IEEE Transactions on Multimedia, U.S.A., vol. 17, no. 12, pp. 2147-2159, December 2015.
  19. Q. Wu, H. Li, F. Meng, K.N. Ngan, B. Luo, C. Huang, and B. Zeng “Blind Image Quality Assessment Based on Multichannel Feature Fusion and Label Transfer,” IEEE Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 26, no. 3, pp. 425-440, March 2016.
  20. Q. Liu, W. Zhang, H. Li and K.N. Ngan, “Hybrid human detection and recognition in surveillance,” Neurocomputing, U.S.A., vol. 194, pp. 10-23, June 2016.
  21. L. Xu, W. Lin, L. Ma, Y. Zhang, Y. Fang, K.N. Ngan, S. Li, and Y. Yan, “Free-energy Principle Inspired Video Quality Metric and Its Use in Video Coding”, IEEE Transactions on Multimedia, U.S.A., U.S.A., vol. 18, no. 4, pp. 590-602, April 2016.
  22. M. Wang, K.N. Ngan and H. Li, “Low-delay Rate Control for Consistent Quality Using Distortion-based Lagrange Multiplier,” IEEE Transactions on Image Processing, U.S.A vol. 25, no. 7, pp. 2943-2955, July 2016.
  23. S. Li, K.N. Ngan, R. Paramesran and L. Sheng, “Real-time Head Pose Tracking with Online Face Template Reconstruction,” IEEE Transactions on Pattern Analysis and Machine Intelligence, U.S.A., vol. 38, no. 9, pp. 1922-1928, September 2016.
  24. Y. Tew, K. Wong, R.C.-W. Phan and K.N. Ngan, “Multi-layer Authentication Method for HEVC Video based on Embedded Statistics”, Journal of Visual Communication and Image Representation, U.S.A., vol. 40, Part B, pp. 502-515, October 2016.
  25. (Invited paper) L. Ma, X. Wang, Q. Liu and K.N. Ngan, “Reorganized DCT-based Image Representation for Reduced Reference Stereoscopic Image Quality Assessment,” Neurocomputing, U.S.A., vol. 215, pp. 21-31, November 2016.
  26. L. Ma, L. Xu, Y. Zhang, Y. Yan and K.N. Ngan, “No-Reference Retargeted Image Quality Assessment Based on Rank Learning”, IEEE Transactions on Multimedia, U.S.A., vol. 18, no. 11, pp. 2228-2237, November 2016.
  27. F. Meng, H. Li, Q. Wu, B. Luo and K.N. Ngan, “Weakly Supervised Part Proposal Segmentation from Multiple Images,” IEEE Transactions on Image Processing, U.S.A., vol. 26, no. 8, pp. 4019-4031, August 2017.
  28. R. Shi and K.N. Ngan, “Gaze-based Object Segmentation”, IEEE Signal Processing Letters, U.S.A., vol. 24, no. 10, pp. 1493-1497, October 2017.
  29. Q. Wu, H. Li, Z. Wang, F. Meng, B. Luo, W. Li and K.N. Ngan, “Blind Image Quality Assessment Based on Rank-Order Regularized Regression”, IEEE Transactions on Multimedia, U.S.A., vol. 19, no. 11, pp. 2490-2504, November 2017.
  30. L. Ma, H. Li, F. Meng, Q. Wu, and K.N. Ngan, “Learning Efficient Binary Codes From High-Level Feature Representations for Multilabel Image Retrieval”, IEEE Transactions on Multimedia, U.S.A., vol. 19, no. 11, pp. 2545-2560, November 2017.
  31. Y. Zhang, K.N. Ngan, L. Ma and H. Li, “Objective Quality Assessment of Image Retargeting by Incorporating Subjective Quality Measures and Inconsistency Detection”, IEEE Transactions on Image Processing, U.S.A., vol. 26, no. 12, pp. 5980-5993, December 2017.
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